Author

Wenlong Mou

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#machine learning Preprint Sep 2026

Adaptively Incorporating Directional Hints into Zeroth-Order Optimization

We study zeroth-order optimization of non-convex functions with the aid of directional hints, which are cheap but potentially inaccurate approximations of the true gradient direction, given by linear subspaces at each iteration. To leverage these hints adaptively while maintaining robustness to their quality, we introd...

Alexander Ryabchenko, Jian Qian, Wenlong Mou · 0 citations

#machine learning Preprint Sep 2026

A Unified Rate-Distortion Perspective on Vector, Product, and Scalar Quantization

Discrete visual tokenization, predominantly driven by vector, scalar, and product quantization, lacks a unified conceptual framework for understanding quantization tradeoffs. In this paper, we propose a unified rate--distortion perspective on modern discrete visual tokenization. By viewing quantization as lossy compres...

Xianghong Fang, Wenlong Mou, Yuan Yuan et al. · 0 citations